Triple
T8802476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nammalvar |
E209444
|
entity |
| Predicate | coreTextOf |
P11293
|
FINISHED |
| Object | Sri Vaishnava liturgy |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sri Vaishnava liturgy | Statement: [Nammalvar, coreTextOf, Sri Vaishnava liturgy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreTextOf Context triple: [Nammalvar, coreTextOf, Sri Vaishnava liturgy]
-
A.
coreText
chosen
Indicates that something serves as the main or primary textual content within a larger work or context.
-
B.
textContent
Indicates that one entity is the textual content or written material contained within another entity.
-
C.
centralText
Indicates that one text element is positioned or designated as the central or primary text relative to surrounding content or layout.
-
D.
canonicalText
Indicates that a standardized, authoritative textual representation is associated with an entity or expression.
-
E.
canonicalTextSection
Indicates that one text section is the authoritative or standard version associated with another representation or variant of that section.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fbb5b108190a9f889d40aa20521 |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1f28ec8190a34311cb412920c2 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:44 p.m.